Abstract: Deep learning techniques have recently achieved significant success in semantic segmentation for Earth observation tasks using single-modality data in a specific region. However, such ...

Abstract: Cropland change detection in remote sensing is hindered by spatial heterogeneity and temporal noise, leading to misaligned representations and erroneous change identification. We propose the ...